FL-ASB: A Fuzzy Logic Based Adaptive-period Single-hop Broadcast Protocol by Bin Pan, Hao Wu, Jin Wang

“…In view of each impact factor, we design corresponding membership function and fuzzy rules according to the specific scenarios and parameters. …”
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Retrieval of Dissolved Organic Carbon Storage in Plateau Lakes Based on Remote Sensing and Analysis of Driving Factors: A Case Study of Lake Dianchi by Yufeng Yang, Wei Gao, Yuan Zhang

“…Specifically, a Gaussian function-based vertical fitting model was developed to characterize DOC concentration distribution along water columns, where parameters (μ and σ) were calibrated against surface DOC concentrations retrieved from MODIS reflectance. …”
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MiR-638 suppresses the progression of oral squamous cell carcinoma through wnt/β-catenin pathway by targeting phospholipase D1 by Kai-Liang Tang, Han-Ying Tang, Yi- Du, Tian Tian, Shi-Jiang Xiong

“…Objective The current study aimed to explore the function of miR-638 on the progression of oral squamous cell carcinoma (OSCC) and relevant molecular mechanisms.Methods Expression profile of miR-638 in OSCC tissues and cells was detected using quantitative real-time polymerase chain reaction (qRT-PCR) method. …”
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NSUN2 knockdown ameliorates hepatic glucose and lipid metabolism disorders in type 2 diabetes mellitus through the Inhibition of ACSL6 m5C methylation by Xianshu Jiang, Xuelan Cheng, Qiu Wan

“…Glucose metabolism was assessed via glucose metabolism function tests. Lipid metabolic parameters were evaluated through pathological analysis and measurements of biochemical indicators in HFD-fed mice. …”
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Lightweight Multi-Head MambaOut with CosTaylorFormer for Hyperspectral Image Classification by Yi Liu, Yanjun Zhang, Jianhong Zhang

“…To address this limitation and enable the real-time processing of hyperspectral data on UAVs, we propose a lightweight multi-head MambaOut with a CosTaylorFormer (LMHMambaOut-CosTaylorFormer). …”
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The A3C Algorithm With Eligibility Traces of Energy Management for Plug-In Hybrid Electric Vehicles by Dingyi Guo, Guangyin Lei, Huichao Zhao, Fang Yang, Qiang Zhang

“…Moreover, A3CET reduces computation time by 62.5% compared to DP, and outperforms other EMSs in terms of both efficiency and real-time applicability.…”
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State Identification of Charging Module Based on SN‐EMD‐SSEE and DBO‐HKELM by Bingyu Li, Xianhai Pang, Xuhao Du, Ziwen Cai

“…However, the protection function of the charging module covers short fault, over‐voltage fault, and over‐current at system level rather than the open‐circuit fault of MOSFETs and diodes at component level, which leads to hidden fire danger or accident risks. …”
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Stability, convergence, and robustness of deterministic multivariable self-tuning control by ZHAO Li, ZHANG Wei-cun, CHU Tian-guang

“…This study is focused on a unified analysis of deterministic multivariable self-tuning control systems with the help of the virtual equivalent system (VES) approach based on the transfer function concept. For different parameter estimation situations (three cases are considered, i.e., parameter estimation converges to its true value, parameter estimation converges to other values, and parameter estimation does not converge), four theorems and two corollaries on the stability, convergence, and robustness of deterministic multivariable self-tuning control systems are given with some remarks. …”
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A Semianalytical Model for Simulating Fluid Flow in Tight Sandstone Reservoirs with a Bottom Aquifer by Suran Wang, Yuhu Bai, Bingxiang Xu, Ling Chen, Wenlan Li, Yanzun Li

“…The three-dimensional volumetric source function in real space and superposition principle are employed to solve the model analytically for fluid flow in the reservoir. …”
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Lightweight SCD-YOLOv5s: The Detection of Small Defects on Passion Fruit with Improved YOLOv5s by Yu Zhou, Zhenye Li, Sheng Xue, Min Wu, Tingting Zhu, Chao Ni

“…In this study, a lightweight neural network, StarC3SE-CBAM-DIoU-YOLOv5s (SCD-YOLOv5s), is proposed based on YOLOv5s for real-time detection of tiny surface defects on passion fruits. …”
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An advanced deep learning method for pepper diseases and pests detection by Xuewei Wang, Jun Liu, Qian Chen

“…To address these challenges, this study introduces YOLO-Pepper, an enhanced model designed specifically for greenhouse pepper disease and pest detection, overcoming three key obstacles: small target recognition, multi-scale feature extraction under occlusion, and real-time processing demands. Built upon YOLOv10n, YOLO-Pepper incorporates four major innovations: (1) an Adaptive Multi-Scale Feature Extraction (AMSFE) module that improves feature capture through multi-branch convolutions; (2) a Dynamic Feature Pyramid Network (DFPN) enabling context-aware feature fusion; (3) a specialized Small Detection Head (SDH) tailored for minute targets; and (4) an Inner-CIoU loss function that enhances localization accuracy by 18% compared to standard CIoU. …”
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Torsional Vibration Suppression During Mode Transition Process in a Parallel Hybrid Electric Vehicle Based on Multiple Model Predictive Control by Cheng Huang, Changqing Du, Longjian Li, Xiangyu Gongye, Yifan Zhao

“…At the same time, the influence of the cost function, the weight coefficient, and the predictive time domain on the torsional vibration suppression effect during the mode transition process are explored in the mMPC strategy design, and the solution time is controlled within 10ms, which meet the real-time requirements. …”
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TAXATION OF INCOME OF PHYSICAL PERSONS AND LOCAL FINANCES: SURPRISES AND PERSPECTIVES OF THEIR SOLUTIONS by I. Lyutyi, V. Ivaniuk

“…A conclusion is drawn about the dominant fiscal function of the personal income tax and the tax on real property other than a parcel of land, which exhibits the constant growth of its tax rates without an acceptable extension of the preferential part. …”
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Spiking neural network tactile classification method with faster and more accurate membrane potential representation by Jing Yang, Zukun Yu, Xiaoyang Ji, Zhidong Su, Shaobo Li, Yang Cao

“…This method effectively overcomes model convergence problems by optimising the membrane potential expression and the relationship between the loss function and network parameters while significantly reducing the time overhead and enhancing the classification accuracy and robustness of the model. …”
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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…The vision arm (“eye”) provides real-time position data to the drilling arm (“hand”), ensuring accurate and efficient operation. …”
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Generative Simplex Mapping: Non-Linear Endmember Extraction and Spectral Unmixing for Hyperspectral Imagery by John Waczak, David J. Lary

“…Points in this latent space are mapped to reflectance spectra via a flexible function combining linear and non-linear mixing. Due to the probabilistic formulation of the GSM, spectral variability is also estimated by a precision parameter describing the distribution of observed spectra. …”
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Reliability Estimation for the Gull Alpha Power Pareto Model Under Progressive Type-I Censoring by Mahmoud M. Abdelwahab, Ahmed R. El-Saeed, M. A. Abdelkawy, Mohamed Khalifa Ahmed Issa, Hanem Mohamed

“…A comprehensive statistical analysis of the GAPP distribution was performed, including the estimation of its parameters and the reliability function. Estimation methods were investigated from an algorithmic perspective: for maximum likelihood estimation, the Newton-Raphson algorithm was adapted, while for Bayesian estimation, Markov Chain Monte Carlo methods were employed, utilizing the Metropolis-Hastings algorithm. …”
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GSF-YOLOv8: A Novel Approach for Fire Detection Using Gather-Distribute Mechanism and SimAM Attention by Caixiong Li, Dali Wu, Xing Zhang, Peng Wu

“…Meanwhile, the model’s complexity and number of parameters have been significantly optimized. The GSF-YOLOv8 not only significantly improves the efficiency and accuracy of fire detection but also provides a more reliable and accurate solution for real-time detection in similarly complex environments.…”
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Root‐Zone Water‐Storage Capacity and Uncertainty: An Intrinsic Factor Affecting Agroecosystem Resilience to Drought by Nunzio Romano, Caterina Mazzitelli, Paolo Nasta

“…Abstract Mapping ecosystem function indicators helps identify areas susceptible to drought, heat stress, and reduced agricultural production. …”
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Research on RBF-PID hybrid drive control models for drone pesticide applications in tropical orchards by Ruipeng Tang, Jianrui Tang, Narendra Kumar Aridas, Mohamad Sofian Abu Talip, Loy Chee Luen

“…It introduces the RBF (Radial Basis Function) neural network to adjust the proportion, integral, and differential of incremental PID controller, which adjusts spraying parameters in real time to improve the accuracy of pesticide spraying. …”
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